Main
Filippo Franchini
Summary
I am a data scientist, software engineer and entrepreneur. I devise tools that help people to fill data gaps and make predictions, to automate and efficiently boost labour-intensive and time-consuming calculations, and to understand complex systems. I improved protocols and devised the first quiet multi-rotor acoustic drone to map sound sources from the air using only acoustic information.
I am currently searching for a position that allows me to apply and improve my coding skills as well as develop new methods and instruments using statistics, software engineering, machine learning and artificial intelligence.
Experience
Co-supervisor in Signal Processing, Machine Learning & Artificial Intelligence
SUPSI DTI (Department of Innovative Technologies)
Ticino, Switzerland
Present - 2020
- MSc student co-supervision and expert at MSc thesis presentation.
- Drone noise cancelling using a mixed approach of Machine Learning, Artificial Intelligence and Signal Processing techniques (R, Matlab).
Consultant in Statistics
University of St Andrews, Tutorful Ltd.
Scotland, UK
Present - 2018
- Tutor and lead demonstrator in statistics, computer science, psychology and biology (R, Python, Matlab and SPSS).
- Tutor in statistics and GIS at CEED (Centre for Educational Enhancement and Development).
- 200+ hours taught in person and online.
Co-founder, Administrator & Data Analyst
Ticino, Switzerland
Present - 2017
- Flight board and drone noise analyst (R, Python, Matlab).
- Media, marketing and business management.
- Partnerships with sponsors and suppliers.
- Patent application.
Co-founder and Instructor
Guidare con Stile Sagl
Ticino, Switzerland
2020 - 2011
- Organizing one-day courses on road security, law compliance, accident prevention, nutrition, and abuse of psychoactive substances.
- Facilitating group discussion on relevant road issues.
- Organizing meetings with other co-founders.
Data Scientist and Software Engineer
Ticino, Switzerland
2016 - 2013
- Big multivariate time series analysis.
- Validating, cleaning and standardizing data for exploratory analysis and pattern identification.
- Statistical modelling and software development (Excel Visual Basic, R) to replace data gaps and make temporal predictions.
Funding
CREEM Scholarship
PhD award of £70’000 to cover tuition fees and living expenses for a period of 3.5 years.
N/A
Present - 2017
National Geographic Standard Grant
Grant of $30’000 to fund the fieldwork and part of the technology development of my PhD.
N/A
2020 - 2019
EPSRC Impact Acceleration Account
Grant of £2500 to finance part of the technology development of my PhD.
N/A
2019
Prizes & Awards
Top 10 most influential people in Ticino (Switzerland), Ticinonews - 2019
EARFLY as top 10 best innovative start-ups, Boldbrain Start-Up Challenge - 2018
The Dean’s List, University of St Andrews - 2017
The Marine Biology Prize, University of Essex - 2016
Élite-sports award, Swiss Federal Sport Office - 2009
Additional Experience
Boldbrain Start-up Challenge, 90-days Accelerator including free coaching and workshops in Value Proposition, Finance, Pitching and Intellectual Property, September-December 2018
Swiss Army, Special Force Command, 2009
Interests
Competitive Gymnastics 2006-2014
Classic and electric guitar since 1997, 7 years at Classic Guitar School
Scuba Diving PADI Open Water Diver, Nitrox and Deep speciality.
Motorboat licence
Animal lover
Travelling
Education
PhD Student in Statistics & Statistical Computing
University of St Andrews, CREEM
Scotland, UK
Present - 2017
- New R-implemented statistical methodology to locate and map sound source using moving microphone arrays.
- Analysis of drone noise and flight data (R, Python, Matlab)
- Joint collaboration with the industry for the design and manufacture of the first acoustic multi-rotor drone as well as for drone noise cancelling.
- Successful National Geographic Standard Grant and EPSRC IAA applications.
- Organization and logistic planning of one-month fieldwork in Laos with Association Anoulak.
MSc in Applied Statistics (Marine Mammal Science)
Scotland, UK
2017 - 2016
- New R-implemented methodology that automates labour-intensive and time-consuming GIS spatial calculations as well as constructs density surfaces based on model predictions.
- Software development and parallel computing.
MSc in Applied Statistics (Biogeoscience)
Essex, UK
2015 - 2014
- New protocols to improve the quantification of small quantities of gases using a gas chromatograph.
- Monte-Carlo simulation and sensitivity analysis to estimate the biogenic gas release from coral reefs worldwide.